#1
12 Weeks, 24 Lessons, AI for All!
48K starsJun 11, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add microsoft/AI-For-BeginnersAlternatives
DeepLearning alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
84
Quality
82
Trust
18K
Stars
#2
Visualizer for neural network, deep learning and machine learning models
33K starsJun 14, 2026 pushml-automationJavaScriptMachine Learning
$ npx skills add lutzroeder/netron#3
Deepfakes Software For All
55K starsMay 29, 2026 pushml-automationPythonMachine Learning
$ npx skills add deepfakes/faceswap#4
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
67K starsJan 22, 2026 pushml-automationPythonMachine Learning
$ npx skills add labmlai/annotated_deep_learning_paper_implementations#5
Low-code framework for building custom LLMs, neural networks, and other AI models
12K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add ludwig-ai/ludwig#6
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
34K starsMar 25, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add openai/CLIP#7
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
87K starsJun 9, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add microsoft/ML-For-Beginners#8
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
26K starsMay 19, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add ageron/handson-ml#9
A game theoretic approach to explain the output of any machine learning model.
26K starsJun 15, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add shap/shap#10
The fastai deep learning library
28K starsMay 20, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add fastai/fastai#11
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
97K starsJun 2, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add rasbt/LLMs-from-scratch#12
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
9.5K starsMay 21, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add roboflow/notebooks#13
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
162K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add huggingface/transformers#14
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
43K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add ray-project/ray#15
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
43K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add deepspeedai/DeepSpeed#16
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
31K starsJun 10, 2026 pushml-automationPythonMachine Learning
$ npx skills add Lightning-AI/pytorch-lightningHow to choose
When should you switch?
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep DeepLearning if it already passes your workflow test and repository review.
Next step
Compare top candidates side by side
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.